duzq2's Stars
NVIDIA/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
hustvl/VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
hustvl/LaneGAP
[ECCV 2024] Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
msracver/Deformable-ConvNets
Deformable Convolutional Networks
fundamentalvision/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
nerfstudio-project/nerfstudio
A collaboration friendly studio for NeRFs
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
OpenDriveLab/End-to-end-Autonomous-Driving
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
chaytonmin/Awesome-Papers-World-Models-Autonomous-Driving
Awesome Papers about World Models in Autonomous Driving
miracleyoo/pytorch-lightning-template
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
YurongYou/MODEST
Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]
Pointcept/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
autodriving-heart/Awesome-Autonomous-Driving
awesome-autonomous-driving
gotonote/Autopilot-Notes
自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
PKUFlyingPig/cs-self-learning
计算机自学指南
PJLab-ADG/SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
drprojects/superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
PJLab-ADG/OpenPCSeg
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
hku-mars/M-detector
OpenDriveLab/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
PJLab-ADG/awesome-knowledge-driven-AD
A curated list of awesome knowledge-driven autonomous driving (continually updated)
PrincetonUniversity/multi_gpu_training
autonomousvision/kitti360Scripts
This repository contains utility scripts for the KITTI-360 dataset.
hustvl/MapTR
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
youquanl/Segment-Any-Point-Cloud
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
xinshuoweng/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
jacky121298/3DAL_PyTorch
This is the pytorch implementation of 3DAL proposed by Qi et. al, "Offboard 3D Object Detection from Point Cloud Sequences", CVPR 2021.